PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (10): 1819-1832.doi: 10.18306/dlkxjz.2022.10.004

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Measurement and influencing factors of rural regional system resilience in mountainous areas: A case study of Luotian County in the Dabie Mountains

ZI Minggui1,2(), ZHOU Yi1,2, LUO Jing1,2, ZHANG Chunyan1,2,*(), GAO Zixiang1,2   

  1. 1. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China
    2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
  • Received:2022-03-24 Revised:2022-06-21 Online:2022-10-28 Published:2022-12-28
  • Contact: ZHANG Chunyan E-mail:minggui@mails.ccnu.edu.cn;rhea@ccnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(42271228);National Natural Science Foundation of China(42101209);National Natural Science Foundation of China(41871176);Natural Science Foundation of Hubei Province(2021CFB534)

Abstract:

Resilience theory is one of the core topics of sustainability science. Integrating rural regional system and resilience theory at the micro-scale is a response and reflection to the rural revitalization strategy. By constructing a rural regional system risk-resilience (R-PAT) model in mountainous areas, this study examined the system resilience of 68 sample villages in Luotian County of the Dabie Mountains using entropy method, and analyzed its spatial patterns. After identifying the R-PAT type, the influencing factors of the spatial differentiation of the rural regional system resilience in mountainous areas were examined through geographical detector. The results show that: 1) There are significant differences in the resistance, adaptability, transformability, and comprehensive resilience index of villages in Luotian County. The comprehensive resilience index of the sample villages is not high in general and has great potential for improvement. 2) According to the changes of resilience index and risk index, the rural regional systems in mountainous areas are divided into four types: high risk-low resilience, high risk-high resilience, low risk-high resilience and low risk-low resilience. The high risk-low resilience type and low risk-low resilience type are dominant in Luotian County. 3) The resilience of rural regional system in Luotian County is affected by multiple factors. Rural endogenous power is the key factor for the spatial differentiation of resilience level of the area, rural natural and social backgrounds are the basic factors, and rural development potential is the driving force for the continuous improvement of the system potential and the gradual strengthening of the resilience capacity. This study focused on applying the resilience theory to the micro spatial units of mountainous rural areas to provide theoretical guidance and case support for the consolidation of poverty alleviation achievements in these areas and their revitalization.

Key words: mountainous areas, rural regional system, risk, resilience, Luotian County in the Dabie Mountains